Model Detail
gemma-3-27b-it
—gemma-3-27b-it is a multimodal model with 27B parameters released by Google. The model is registered under the image-text-to-text pipeline tag on Hugging Face, and supports text+image->text inputs, released under the gemma license.
gemma-3-27b-it is priced at $0.09/M input tokens and $0.16/M output tokens. Operationally the model offers a 131K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
gemma-3-27b-it ships with 27B parameters. The published knowledge cutoff is 2024-08-31, so newer events will not be reflected in zero-shot answers without retrieval. Total weight footprint is approximately 27.4 GB, which is the relevant figure when planning local-inference VRAM. Access is gated on Hugging Face under the gemma license, which means a manual approval step before weights can be downloaded.
gemma-3-27b-it is best fit for mixed text-and-image reasoning tasks such as document understanding, and high-volume batch jobs where per-call cost dominates the budget. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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